{"uid":"cap_VSzOrEL0zvShfwMG5xXBH","slug":"sampling-observations-iqr-outlier-flags-and-date-by-category-pivot-1526779b","name":"Sampling Observations IQR Outlier Flags and Date-by-Category Pivot","description":"Sampling observations — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied sampling observations records (sample_value, sample_weight). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-178?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","sample_value","sample_weight"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"sample_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"sample_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","sample_value":10,"dataset_group":"group-a","sample_weight":1},{"date":"2026-10-02","row_id":"row-2","sample_value":20,"dataset_group":"group-b","sample_weight":2},{"date":"2026-10-03","row_id":"row-3","sample_value":15,"dataset_group":"group-a","sample_weight":3},{"date":"2026-10-04","row_id":"row-4","sample_value":30,"dataset_group":"group-b","sample_weight":4}],"maxItems":200,"minItems":1},"field":{"enum":["sample_value","sample_weight"],"type":"string","default":"sample_value"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_nqZC_O6gdwXhfWLC4v4jF","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs two local analytical reports on supplied sampling observation rows: IQR-based outlier flagging and a date-by-category pivot table.","exampleAgentPrompt":"I have up to 200 sampling observation rows with sample_value and sample_weight fields — can you run IQR outlier flagging plus a date-by-category pivot on them, analyzing the sample_value field?","exampleUseCases":[{"title":"Survey outlier detection across groups","prompt":"I've got 150 rows of survey sample data with group labels and dates — flag any outliers in the sample_value column using IQR and also give me a pivot of values by date and group."},{"title":"Weighted sample quality check","prompt":"Check my 80 sampling observation records for IQR-based outliers in the sample_weight field, and show me a cross-tab of sample weights broken down by date and dataset_group."},{"title":"Lab measurement anomaly review","prompt":"Here are 200 lab measurement rows with dates, group categories, and sample values — please run the IQR outlier flags and date-by-category pivot so I can spot anomalies and see patterns across groups."}],"resultDescription":"Two analytical reports: (1) IQR outlier flags per row indicating which sample_value or sample_weight values fall outside the interquartile range bounds, and (2) a date-by-category pivot table cross-tabulating the selected field across dataset groups and dates. All computation is local with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors","Invalid date format (not YYYY-MM-DD) fails schema validation","Null values in the selected field may reduce outlier detection accuracy","Too few rows per group may make IQR statistics unreliable"],"whenToPreferThis":"Choose this endpoint when you have up to 200 sampling observation records with numeric values, group labels, and dates, and need both IQR outlier detection and a date-category pivot in a single $0.01 call without any external data lookups or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:45.557Z","isFirstParty":false,"canonicalSlug":"sampling-observations-iqr-outlier-flags-and-date-by-category-pivot-1526779b"}